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leabRa  

The Artificial Neural Networks Algorithm Leabra
View on CRAN: Click here


Download and install leabRa package within the R console
Install from CRAN:
install.packages("leabRa")

Install from Github:
library("remotes")
install_github("cran/leabRa")

Install by package version:
library("remotes")
install_version("leabRa", "0.1.0")



Attach the package and use:
library("leabRa")
Maintained by
Johannes Titz
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2017-09-22
Latest Update:
Description:
The algorithm Leabra (local error driven and associative biologically realistic algorithm) allows for the construction of artificial neural networks that are biologically realistic and balance supervised and unsupervised learning within a single framework. This package is based on the 'MATLAB' version by Sergio Verduzco-Flores, which in turn was based on the description of the algorithm by Randall O'Reilly (1996) . For more general (not 'R' specific) information on the algorithm Leabra see .
How to cite:
Johannes Titz (2017). leabRa: The Artificial Neural Networks Algorithm Leabra. R package version 0.1.0, https://cran.r-project.org/web/packages/leabRa. Accessed 07 Oct. 2026.
Previous versions and publish date:
(2026-07-09 07:52), 0.1.0 (2017-09-22 13:07)
Other packages that cited leabRa R package
View leabRa citation profile
Other R packages that leabRa depends, imports, suggests or enhances
Complete documentation for leabRa
Functions, R codes and Examples using the leabRa R package
Some associated functions: animals . layer . leabRa . network . unit . 
Some associated R codes: data.R . layer.R . leabRa.R . misc.R . network.R . unit.R .  Full leabRa package functions and examples
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